De-Risking Your Startup -- SaaStr 2017 Talk

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LEO POLOVETS GENERAL PARTNER AT SUSA VENTURES #saastrannual De-Risking Your Startup

Transcript of De-Risking Your Startup -- SaaStr 2017 Talk

Page 1: De-Risking Your Startup -- SaaStr 2017 Talk

LEO POLOVETSGENERAL PARTNER AT SUSA VENTURES

#saastrannual

De-Risking Your Startup

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BackgroundMe: software engineer turned VC.

• LinkedIn ’03-’05, Google ’05-’09, Factual ’09-’12.

General Partner at Susa Ventures since late 2012.

• $75m under management.

• ~50 investments.

• Seed investing in (mostly) B2B startups. Our focus is on strong long-term competitive advantages like network effects, proprietary data, and/or economies of scale.

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Common Misconception

“If I hit $2m ARR, I'll be able to raise a nice Series A.”

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SORRY,NO.

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RealityEarly-stage VCs invest based on ideal outcome potential and odds

of success — not revenue multiples.

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The Value of Your Company

Value ∝IdealOutcome x ChanceToWin

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Example• Ideal outcome: If you win, company will be worth $1b.

• Your team + idea = 1% chance to win.

• Expected value of company = $1b x 1% = $10m.

• Seed valuation = $3m (time discounted).

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Example (cont.)Today

Next yearARR Chance to win Expected company value

$0m 10% $100m

$1m 10% $100m

$2m 10% $100m

$2m 4% $40m

ARR Chance to win Expected company value

$0m 1% $10m

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How VCs Estimate Your Chance of Winning

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Chance of Winning is Based on Key Risks• Can you hire a great exec team?

• Can you find product/market fit?

• Can you differentiate enough from the competition?

• etc…

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Each Risk Area is Ranked along a SpectrumProduct/Market Fit Risk

Risk Level Example

Very High You think/hope/believe people will want to use your product.

High You have verbal interest or LOIs from potential customers.

Medium You have unpaid pilots.

Low You have multiple paid pilots.

Very Low You have multiple prepaid annual contracts.

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Each Risk Area is Ranked along a SpectrumShort-Term Competition Risk

Risk Level Example

Very High Tons of strong competition.

High Tons of weak competition.

Medium Some competition, and you’re weakly differentiated

Low Some competition, but you’re strongly differentiated

Very Low No competition + high barrier to entry (which you have crossed).

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Risk Levels → ProbabilitiesRisk Level Probability of Success

Very High 20%

High 35%

Medium 50%

Low 65%

Very Low 80%

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Value of Your CompanyMarket Size

x Probability of Success (product/market fit)

x Probability of Success (short-term competition)

x Probability of Success (hiring great exec team)

x …

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Seed Stage Valuation Example$1b (valuation if company is successful)

x 0.35 (high product/market fit risk)

x 0.50 (med short-term competition risk)

x 0.80 (very low exec team risk)

x …

= $10m

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Startup Mistake #1: Focusing on Wrong RisksBefore:

$1b (valuation if successful)

x 0.35 (high product/market fit risk)

x 0.50 (med short-term competition risk)

x 0.80 (very low exec team risk)

x …

= $10m

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Startup Mistake #1: Focusing on Wrong RisksBefore:

$1b (valuation if successful)

x 0.35 (high product/market fit risk)

x 0.50 (med short-term competition risk)

x 0.80 (very low exec team risk)

x …

= $10m

Mistake:

Spend most of your seed round on adding more great execs to the team

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Startup Mistake #1: Focusing on Wrong RisksBefore:

$1b (valuation if successful)

x 0.35 (high product/market fit risk)

x 0.50 (med short-term competition risk)

x 0.80 (very low exec team risk)

x …

= $10m

After:

$1b (valuation if successful)

x 0.35 (high product/market fit risk)

x 0.50 (med short-term competition risk)

x 0.80 (very low exec team risk)

x …

= $10m (valuation unchanged)

Mistake:

Spend most of your seed round on adding more great execs to the team

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Startup Mistake #1: Focusing on Wrong RisksReal-world examples:

• Strong technical team spends seed round on building product instead of proving they can sell.

• Company that’s in a crowded market makes no effort at establishing differentiation.

• Founders with zero management and hiring experience make progress by themselves, without expanding the team or showing they can be leaders.

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Seed Mistake #2: Regressing in an AreaBefore:

$1b (valuation if successful)

x 0.35 (high product/market fit risk)

x 0.50 (med short-term competition risk)

x 0.80 (very low exec team risk)

x …

= $10m

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Seed Mistake #2: Regressing in an AreaBefore:

$1b (valuation if successful)

x 0.35 (high product/market fit risk)

x 0.50 (med short-term competition risk)

x 0.80 (very low exec team risk)

x …

= $10m

Mistake:

You find product/market fit, but it’s in a very crowded space.

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Seed Mistake #2: Regressing in an AreaBefore:

$1b (valuation if successful)

x 0.35 (high product/market fit risk)

x 0.50 (med short-term competition risk)

x 0.80 (very low exec team risk)

x …

= $10m

After:

$1b (valuation if successful)

x 0.80 (very low product/market fit risk)

x 0.20 (very high competition risk)

x 0.80 (very low exec team risk)

x …

= $9m (valuation drops!)

Mistake:

You find product/market fit, but it’s in a very crowded space.

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Seed Mistake #2: Regressing in an AreaReal-world examples:

• Original pricing model is too aggressive, new pricing works but shrinks TAM by 10x.

• Founders make bad hires, showing that they can hire in a competitive market, but they can’t hire well.

• Pre-sales validate a strong market but team cannot fulfill customer demand, demonstrating weak execution skills.

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Best Practice: Focus on Biggest RisksBefore:

$1b (valuation if successful)

x 0.35 (high product/market fit risk)

x 0.50 (med short-term competition risk)

x 0.80 (very low exec team risk)

x …

= $10m

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Best Practice: Focus on Biggest RisksBefore:

$1b (valuation if successful)

x 0.35 (high product/market fit risk)

x 0.50 (med short-term competition risk)

x 0.80 (very low exec team risk)

x …

= $10m

Ideal path:

Primary focus on product/market fit, secondary focus on higher differentiation.

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Best Practice: Focus on Biggest RisksBefore:

$1b (valuation if successful)

x 0.35 (high product/market fit risk)

x 0.50 (med short-term competition risk)

x 0.80 (very low exec team risk)

x …

= $10m

After:

$1b (valuation if successful)

x 0.80 (very low product/market fit risk)

x 0.65 (low competition risk)

x 0.80 (very low exec team risk)

x …

= $30m (3x higher!)

Ideal path:

Primary focus on product/market fit, secondary focus on higher differentiation.

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An Aside: Series A Revenue Targets

If revenue doesn’t matter, why do most Series A investors want to see $1m-$2m ARR?

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An Aside: Series A Revenue Targets$1m-$2m ARR is interesting because it

usually indicates you’ve figured out product/market fit and a growth channel.

VCs are excited because you’ve figured out product/market fit and a growth

channel, not because you have $X ARR.

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Homework: Identify Your Key Risks1. Carefully reflect on every imaginable risk area: product/market

fit, short- and long-term competition, current team, ability to hire, ability to sell, market size, government regulation, etc.

2. Do an honest self-assessment. Which areas are you weakest in?

3. Ask investors, advisors, friends, cofounders, etc. to share what they think are your weak areas.

4. Useful thought experiment: if you fast forward 5 years into the future and find out your company failed, what would be the reasons it failed?

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Homework: Focus on the Right Risk Areas1. Ignore risks that don’t apply to your stage. (E.g.

whether your team can scale from $10m ARR to $100m ARR is irrelevant if you’re at $100k ARR.)

2. Focus on the biggest risks first. Moving from a 20% to an 80% chance of success in some area is a 4x improvement. Moving from 65% to 80% is barely an improvement.

Tip: In many areas, an easy way to reduce risk is to surround yourself with great employees, advisors, and investors.

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Startups are Like TriathlonsTriathlon = Swim, Bike, Run.

It doesn’t matter how great you are at cycling and running if you can’t swim. Learn to swim before you

upgrade your bike.

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Thank You

Leo Polovets

https://codingvc.com/saastr-2017

[email protected]

@lpolovets